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test_lite_yolov6.cpp
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test_lite_yolov6.cpp
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//
// Created by DefTruth on 2022/6/25.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../examples/hub/onnx/cv/yolov6s-640x640.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_1.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov6_1.jpg";
// 1. Test Default Engine ONNXRuntime
lite::cv::detection::YOLOv6 *yolov6 = new lite::cv::detection::YOLOv6(onnx_path); // default
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "Default Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../examples/hub/onnx/cv/yolov6s-640x640.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov6_2.jpg";
// 2. Test Specific Engine ONNXRuntime
lite::onnxruntime::cv::detection::YOLOv6 *yolov6 =
new lite::onnxruntime::cv::detection::YOLOv6(onnx_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "ONNXRuntime Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
#endif
}
static void test_tensorrt()
{
#ifdef ENABLE_TENSORRT
std::string engine_path = "../../../examples//hub/trt/yolov6s_fp32.engine";
std::string test_img_path = "../../../examples/lite/resources/test_lite_efficientdet.png";
std::string save_img_path = "../../../examples//logs/test_lite_yolov6_2_trt.jpg";
// 1. Test TensorRT Engine
lite::trt::cv::detection::YOLOV6 *yolov6 = new lite::trt::cv::detection::YOLOV6(engine_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "Default Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../examples/hub/mnn/cv/yolov6s-640x640.mnn";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov6_mnn_2.jpg";
// 3. Test Specific Engine MNN
lite::mnn::cv::detection::YOLOv6 *yolov6 =
new lite::mnn::cv::detection::YOLOv6(mnn_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "MNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../examples/hub/ncnn/cv/yolov6s-640x640-for-ncnn.opt.param";
std::string bin_path = "../../../examples/hub/ncnn/cv/yolov6s-640x640-for-ncnn.opt.bin";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov6_ncnn_2.jpg";
// 4. Test Specific Engine NCNN
lite::ncnn::cv::detection::YOLOv6 *yolov6 =
new lite::ncnn::cv::detection::YOLOv6(param_path, bin_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "NCNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../examples/hub/tnn/cv/yolov6s-640x640.opt.tnnproto";
std::string model_path = "../../../examples/hub/tnn/cv/yolov6s-640x640.opt.tnnmodel";
std::string test_img_path = "../../../examples/lite/resources/test_lite_yolox_2.jpg";
std::string save_img_path = "../../../examples/logs/test_lite_yolov6_tnn_2.jpg";
// 5. Test Specific Engine TNN
lite::tnn::cv::detection::YOLOv6 *yolov6 =
new lite::tnn::cv::detection::YOLOv6(proto_path, model_path);
std::vector<lite::types::Boxf> detected_boxes;
cv::Mat img_bgr = cv::imread(test_img_path);
yolov6->detect(img_bgr, detected_boxes);
lite::utils::draw_boxes_inplace(img_bgr, detected_boxes);
cv::imwrite(save_img_path, img_bgr);
std::cout << "TNN Version Detected Boxes Num: " << detected_boxes.size() << std::endl;
delete yolov6;
#endif
}
static void test_lite()
{
test_default();
test_onnxruntime();
test_mnn();
test_ncnn();
test_tnn();
test_tensorrt();
}
int main(__unused int argc, __unused char *argv[])
{
test_lite();
return 0;
}